基于混合粒子群算法优化橡胶挤出机Smith-模糊PID温度控制系统

Optimization of Smith-Fuzzy PID Temperature Control System for Rubber Extruder Based on Hybrid Particle Swarm Optimization Algorithm

为提高橡胶挤出机Smith-模糊PID温度控制系统的控制精度,更好地实现智能整定参数与橡胶挤出机温度最优控制,采用混合粒子群(HPSO)算法优化Smith-模糊PID控制系统,完成对温度控制系统PID参数基准值的自动寻优。借助MATLAB软件辨识挤出机温控系统数学模型,搭建Smith-模糊PID温度控制系统。为避免粒子群(PSO)算法陷入局部最优,在PSO算法的基础上将社会因子分解为局部社会因子和全局社会因子,设计出HPSO算法对PID参数进行寻优;将HPSO算法优化系统前后的控制效果进行对比。结果表明:采用HPSO算法优化Smith-模糊PID温度控制系统的控制精度更高、抗干扰性能更强,温度控制精度在±(1~1.5)℃以内,并且接近±1℃,完全满足橡胶挤出生产过程中对料筒温度控制的指标要求,可以在一定程度上提升温控系统的控制精度以及挤出机械的智能化水平。

In order to improve the control accuracy of the Smith-fuzzy PID temperature control system of the rubber extruder,and better realize the intelligent tuning parameters and optimal control of the temperature of the rubber extruder,the hybrid particle swarm optimization(HPSO) algorithm was used to optimize the Smith-fuzzy PID control system to complete the automatic optimization of the PID parameters reference value of the temperature control system.MATLAB software was used to identify the mathematical model of the extruder temperature control system,a Smith-fuzzy PID temperature control system was built.In order to avoid the PSO algorithm falling into the local optimum,the social factors were decomposed into local social factors and global social factors on the basis of the PSO algorithm,and the HPSO algorithm was designed to optimize the PID parameters;the system control effects before and after the HPSO algorithm optimization were compared.The results show that by using the HPSO algorithm to optimize the Smith-fuzzy PID temperature control system,control accuracy is more higher and the anti-interference performance is more stronger,the temperature control accuracy is within ±(1~1.5) ℃ and close to ±1 ℃,by which the rubber extrusion production process fully can be met and the control accuracy of the temperature control system and the intelligent level of the extrusion machinery can be improved to a certain extent.